<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="systematic-review" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.161385.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Systematic Review</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>A Concept of Air Quality Mitigation through the Planned Behavior of University Students Towards Sustainable Campuses</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved with reservations, 1 not approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Shetty</surname>
                        <given-names>Roshan S.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-1176-8034</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Aggarwal</surname>
                        <given-names>Devansh</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Shetty</surname>
                        <given-names>Sham Ranjan</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Manipal School of Architecture and Planning, Manipal Academy of Higher Education, Manipal, Karnataka, 576 104, India</aff>
                <aff id="a2">
                    <label>2</label>T. A. Pai Management Institute, Manipal Academy of Higher Education, Manipal, Karnataka, 576 104, India</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:roshan.shetty@manipal.edu">roshan.shetty@manipal.edu</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>14</day>
                <month>2</month>
                <year>2025</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2025</year>
            </pub-date>
            <volume>14</volume>
            <elocation-id>208</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>25</day>
                    <month>1</month>
                    <year>2025</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2025 Shetty RS et al.</copyright-statement>
                <copyright-year>2025</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/14-208/pdf"/>
            <abstract>
                <sec>
                    <title>Background</title>
                    <p>Increased awareness of sustainability has renewed academic interest in understanding perception. The objective was to determine the expected behavior among university students concerning air quality mitigation. The theory of planned behavior (TPB) was used as a theoretical framework to understand students&#x2019; attitudes toward air quality mitigation along with subjective norms and perceived behavioral control.</p>
                </sec>
                <sec>
                    <title>Method</title>
                    <p>This study uses the systematic literature review (SLR) methodology to provide an understanding of current studies regarding the aspect of air quality and behavior from databases reviewed by experts. The research highlights the gap in the current study area and provides a need for more detailed empirical research.</p>
                </sec>
                <sec>
                    <title>Result</title>
                    <p>The study reviewed 24 articles and proposed a conceptual model based on the TPB framework to understand the means of air quality mitigation behaviors in a campus environment.</p>
                </sec>
                <sec>
                    <title>Conclusion</title>
                    <p>This model aims to guide future research to improve air quality in higher education institutions. The findings also focuses on theoretical contributions by applying TPB.</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Air Quality</kwd>
                <kwd>Sustainable Development</kwd>
                <kwd>Theory of Planned Behavior</kwd>
                <kwd>Systematic Literature Review</kwd>
                <kwd>PRISMA</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec5" sec-type="intro">
            <title>1. Introduction</title>
            <p>Environmentally, air quality is crucial to human and ecological health in terms of overall well-being. Air pollution by the World Health Organization (WHO), as one of nine planetary boundary areas, has become a public health enemy worldwide, with millions of deaths every year from various lung diseases or cardiovascular diseases caused by the 
                <xref ref-type="bibr" rid="ref37">WHO in 2018</xref>. Poor air quality impairs student health and academic performance and hampers broader attempts to build sustainable, healthier college campuses. Universities are acknowledged as microcosms in a society where sustainable practices can be developed and shown. A sustainable campus treats ecological harm, such as air pollution in all forms, not only as an operational responsibility but also as a central component of how it operates and educates (
                <xref ref-type="bibr" rid="ref26">McCright &amp; Dunlap 2013</xref>). This recognition notwithstanding, efforts to educate students about sustainability initiatives and their corresponding social psychology behind contributing to them are growing in popularity across campuses (especially for air quality) but warrant empirical investigations.</p>
            <p>The TPB provides a robust theoretical framework for understanding the determinants of students&#x2019; intentions and behaviors toward campus air quality mitigation efforts. The TPB posits that three factors influence behavior: attitudes toward the behavior, social norms, and perceived behavioral control (
                <xref ref-type="bibr" rid="ref24">Ajzen, 1991</xref>). Previous research has illustrated the importance of fostering environmental attitudes and education to enhance pro-environmental behavior in students (
                <xref ref-type="bibr" rid="ref25">Gifford &amp; Nilsson, 2014</xref>). However, there is little research on air quality in the context of student behavior and under given dynamics within university settings. This gap highlights the necessity of rigorous review and synthesis to identify the most important underlying variables in air quality-related personal behavior among students living on campuses.</p>
            <sec id="sec6">
                <title>1.1 Impact of Air Quality at the Campus Level</title>
                <p>At a college campus, air quality plays an outsized role in the physical health and cognitive performance of students or faculty. The deterioration of air quality, characterized by high-level aerosols in particulate matter (PM), nitrogen dioxide, and volatile organic compounds, gives rise to respiratory complaints as well as cardiovascular diseases, leading to other health disorders, such as organ failure, that are conceptually related to a poor indoor environment (
                    <xref ref-type="bibr" rid="ref28">Brugha &amp; Grigg, 2014</xref>). Indoor air pollution can be a big deal for students, who spend much of their time inside classrooms and dorms. Exposure to indoor air pollutants can impair cognitive function, decrease attention spans, and harm schoolwork (
                    <xref ref-type="bibr" rid="ref27">Zhang et al., 2017</xref>). Poor air quality does more than just lead to health effects; it can also degrade the campus environment in other ways reducing comfort for all occupants, impacting potential students&#x2019; decisions concerning which colleges/universities to attend, and employees choose their employment locations (
                    <xref ref-type="bibr" rid="ref29">MacNaughton et al., 2017</xref>). As such, universities have a financial incentive to provide high air quality standards for the well-being and productivity of their community.</p>
            </sec>
            <sec id="sec7">
                <title>1.2 Campus Air Quality Guidelines</title>
                <p>The NAAQS (National Ambient Air Quality Standards) sets limits on particulate matter, a major air pollutant in urban areas. Campuses should monitor and maintain PM levels within the following limits. PM 10 (annual range: 60 &#x03bc;g/m
                    <sup>3</sup>, 24-hour average: 100 &#x03bc;g/m
                    <sup>3</sup>), PM 2.5 (annual average: 40 &#x03bc;g/m
                    <sup>3</sup>, 24-hour average: 60 &#x03bc;g/m
                    <sup>3</sup>), and AQI (good 0--50, satisfactory 51--100). Regular monitoring of PM levels is essential, especially in areas with heavy vehicular traffic or ongoing construction (
                    <xref ref-type="bibr" rid="ref35">Central Pollution Control Board, 2009</xref>). With restricted vehicular access, the use of electric vehicles can help maintain standard and efficient air quality.</p>
            </sec>
            <sec id="sec8">
                <title>1.3 Objectives of the research</title>
                <p>

                    <list list-type="alpha-lower">
                        <list-item>
                            <label>a.</label>
                            <p>To determine the expected behavior among university students concerning air quality mitigation</p>
                        </list-item>
                        <list-item>
                            <label>b.</label>
                            <p>To determine relationship between TPB and air pollutants.</p>
                        </list-item>
                    </list>
                </p>
            </sec>
        </sec>
        <sec id="sec9">
            <title>2. Air Quality and Mitigation Concept</title>
            <p>The theory of planned behavior (TPB) provides a conceptual framework for predicting and understanding human behavior. It helps in understanding the environmental aspects and impact as well (
                <xref ref-type="bibr" rid="ref24">Ajzen, 1991</xref>). One&#x2019;s behavior is directly influenced by the three determinants of TPB, i.e., attitude, subjective norms, and perceived behavioral control.</p>
            <sec id="sec10">
                <title>2.1 Attitudes toward the behavior</title>
                <p>Attitude is the extent to which an individual expresses a favorable or unfavorable evaluation of behavior. Concerning air quality and its mitigation, attitude comprises beliefs about the necessity of taking measures against lower levels of pollution, expected advantages that result from carrying out those actions, or costs associated with execution. Increased knowledge of the effect of air quality on health and the environmental benefits of pollution reduction will likely lead to more inclined behavior toward participating in activities to reduce exposure environmentally (
                    <xref ref-type="bibr" rid="ref43">Bamberg &amp; Schmidt, 2003</xref>; 
                    <xref ref-type="bibr" rid="ref34">Steg &amp; Vlek, 2009</xref>). For example, learning about how reducing vehicle use can reduce carbon emissions could increase attitudes toward public transport or cycling. Whether people believe that their actions will be effective in reducing air pollution is likely to influence which behaviors they choose (or are willing) to adopt to achieve better air quality. This is key in driving behaviors toward engaging in broader campus sustainability efforts or reducing electricity usage.</p>
            </sec>
            <sec id="sec11">
                <title>2.2 Subjective norms</title>
                <p>These are the subjective feelings of social pressure to perform or not perform a behavior. These norms arise from the expectations of other parties, such as peers, family, or society at large, and profoundly affect individuals&#x2019; intentions to engage in air quality mitigation actions. At universities, the behavior, and the attitudes of peers can easily persuade an individual to act differently. This is done in part because when students believe that their peers respect and engage in pro-environmental behaviors, they are more likely to mimic those actions (
                    <xref ref-type="bibr" rid="ref30">Bamberg &amp; M&#x00f6;ser, 2007</xref>). In such cases, a culture of cycling or carpooling might develop among students. Universities that promote policies and campaigns focused on improving air quality contribute to developing a normative context for the sustainable promotion of behaviors. Examples include policies such as rewarding the use of public transport or car bans on campuses, which help strengthen the subjective norm that driving less is an important collective responsibility (
                    <xref ref-type="bibr" rid="ref31">Cotton et al., 2016</xref>).</p>
            </sec>
            <sec id="sec12">
                <title>2.3 Perceived behavioral control</title>
                <p>This refers to the perceived ease or difficulty with which people believe they can perform a behavior and is assumed here to influence an individual&#x2019;s confidence in their ability to successfully execute that behavior. It is strongly influenced by available resources, opportunities, and perceived barriers. The availability of public transportation services, recycling options, or energy-efficient appliances can lead to greater perceived control over behavior and facilitate engagement in air quality mitigation behaviors (
                    <xref ref-type="bibr" rid="ref24">Ajzen, 1991</xref>). By providing EV charging points and bike-sharing schemes at universities, students are encouraged to perform more work on their carbon footprint. Self-efficacy, or the perceived ability to perform an act, has a strong effect on perceived behavioral control. Specifically, behavior intention is affected by individuals&#x2019; self-efficacy beliefs for performing behaviors that help the environment (e.g., reducing energy use and planting trees). Identifying and addressing barriers to air quality mitigation behaviors, such as a lack of infrastructure, time constraints, or financial costs, is essential. Institutional support can help in overcoming these barriers and can increase the perceived behavioral control leading to a behavior change (
                    <xref ref-type="bibr" rid="ref32">Gifford, 2011</xref>).</p>
            </sec>
        </sec>
        <sec id="sec13">
            <title>3. Systematic literature review</title>
            <p>This study involves the use of a systematic literature review (SLR), which is the theory of planned behavior concerning air quality, to understand and study the current topic. This study used a four-stage SLR, which includes a thorough literature search, full-text evaluation, meta-synthesis, and critical content analysis by standard SLR research practices. The specifics and procedures of SLR are explained in the following sections. 
                <xref ref-type="fig" rid="f1">
Figure 1</xref> below depicts the article retrieval mechanism in action. Through the 4 steps of identification, screening, eligibility checking, and inclusion of the eligible articles, 24 articles were ultimately selected for analysis from the initial 54 papers identified. The lack of in-depth research on the theory of planned behavior of university students concerning air quality for a sustainable campus is evidenced by the small number of articles that are closely related to the subject, which supports the need for both this review and further study.</p>
            <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                <label>
Figure 1. </label>
                <caption>
                    <title>Article retrieval process (PRISMA model).</title>
                </caption>
                <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/177400/fb386d01-b855-41ab-ba87-81ec8c51c36d_figure1.gif"/>
            </fig>
            <sec id="sec14">
                <title>3.1 Selection of databases and literature search</title>
                <p>A thorough and objective search should support the SLR process by identifying pertinent research. It is necessary to find and use a database selection that guarantees thorough research coverage. In this sense, Scopus one of the most important platforms for article retrieval is used in this study along with the access of Google Scholar. This database provides comprehensive coverage of the literature and makes it possible to perform organized searches. First, prominent keywords associated with sustainable development, theory of planned behavior, and air quality were found. Next, several terms with relevant semantic meanings are combined. For this study, the final search string was as follows: [TITLE-ABS-KEY (&#x201c;air quality&#x201d; OR quality) AND TITLE-ABS-KEY (&#x201c;theory of planned behavior&#x201d; OR &#x201c;pro-environmental&#x201d;)]. A total of 42 articles from Scopus were identified via the search, and an additional 12 articles from Google Scholar were identified.</p>
            </sec>
            <sec id="sec15">
                <title>3.2 Screening of articles</title>
                <p>The benchmark used in the SLR process to filter the article pool is provided by and comes from the screening of the articles. At this point, the articles were filtered based on the year, document type, source type, and language. [(LIMIT-TO (YEAR, &#x201c;2010-present&#x201d;) AND (LIMIT-TO (DOCTYPE, &#x201c;ar&#x201d;) AND (LIMIT-TO (SRCTYPE, &#x201c;j&#x201d;) AND (LIMIT-TO (LANGUAGE, &#x201c;English&#x201d;)) is the filtering operation that was used. The articles that were taken into consideration for this study could only be current ones (from 2010, in line with the theory of planned behavior and air quality). Only peer-reviewed articles were considered for the study in terms of document format and source type because they undergo a more thorough peer review procedure and offer more in-depth knowledge than other research articles, such as conference papers. Finally, items written in other languages were removed. During this phase, 41 articles from Scopus and Google Scholar were produced.</p>
            </sec>
            <sec id="sec16">
                <title>3.3 Eligibility and inclusion criteria of the articles</title>
                <p>The articles from the previous phase were subjected to criteria such as abstract review, keyword analysis, appraisal of conclusions, and outcomes to determine which ones were eligible and appropriate for inclusion in this step. At this point, papers that focused on the theory of planned behavior at the city level and broad aspects of environmental concerns were eliminated. In the end, 24 articles a large quantity for critical content analysis were used in this study. Compared with other reviews of similar products, this sample size is favorable.</p>
            </sec>
            <sec id="sec17">
                <title>3.4 Meta-synthesis and critical content analysis of articles</title>
                <p>After the quality check, 24 articles were selected for this review. These articles were reviewed and verified by the first and the second authors. Further, these articles were reviewed by the third author. Finally, the articles were analyzed and summarized. The first and the second author gathered information from the included studies. The data from the articles were extracted and evaluated by two authors independently. Further, it was reviewed by the third author.</p>
                <p>In the SLR process, meta-synthesis is the analysis of the metadata included in the article pool. Extracting the metadata from each article enhances the SLR procedure and serves as a foundation for structuring the study&#x2019;s framework. The metadata, which was organized tabularly, included details such as the name of the article, the year of publication, the research topic, and any restrictions. The phrase &#x201c;idea thought matrix supplemented by components of analysis&#x201d; accurately describes this extensive table. The articles were then further categorized into research themes, highlighting their similarities to create clusters out of the articles that were retrieved; this process is known as critical content analysis, and it helps to establish the current status quo and develop future trends in the field of study.</p>
            </sec>
            <sec id="sec18">
                <title>3.5 Results and findings</title>
                <p>This research looked at 24 studies conducted by 103 authors in 24 countries. The average number of citations each article obtained was 18.33. There were 115 keywords. 
                    <xref ref-type="table" rid="T1">
Table 1</xref> presents that information in detail.</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>
Table 1. </label>
                    <caption>
                        <title>The primary information of the article set.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Description</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Results</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Timespan</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2010:2024</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Countries</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">24</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Articles</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">24</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Average citations per article</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">18.33</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Author&#x2019;s Keywords</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">115</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Authors</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">103</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>
                    <xref ref-type="fig" rid="f2">
Figure 2</xref> shows the country-wise article publications and how countries are interdependent in terms of citations. Since the larger nodes in the figure denote the number of occurrences, China has the highest number of publications. As some nodes in the figure are unclear in size to examine second and third places in publications, we created 
                    <xref ref-type="table" rid="T2">
Table 2</xref> via VOS viewer. It summarizes and ranks the countries with their articles. Accordingly, China, Taiwan, and Australia ranked first, second, and third, respectively, indicating that they are famous for their Theory of Planned Behavior concerning air quality.</p>
                <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                    <label>
Figure 2. </label>
                    <caption>
                        <title>Country-wise article publication.</title>
                    </caption>
                    <graphic id="gr2" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/177400/fb386d01-b855-41ab-ba87-81ec8c51c36d_figure2.gif"/>
                </fig>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>
Table 2. </label>
                    <caption>
                        <title>Country-wise articles received.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Rank</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Country</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Articles</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">China</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Taiwan</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Australia</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Italy</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Spain</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">United States</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Brazil</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Burkina Faso</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Germany</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Greece</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">11</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Kuwait</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">12</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Malaysia</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">13</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Morocco</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">14</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Netherlands</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">15</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Pakistan</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">16</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Puerto Rico</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">17</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Romania</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">18</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Singapore</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">19</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">South Korea</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">20</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Sweden</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">21</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Turkey</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">22</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">United Arab Emirates</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">23</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">United Kingdom</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">24</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Vietnam</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec id="sec19">
                <title>3.6 Results of the studies</title>
                <p>As shown in 
                    <xref ref-type="table" rid="T3">
Table 3</xref>, the highest number of keyword occurrences was observed for the Theory of Planned Behavior. A larger green node is shown in 
                    <xref ref-type="fig" rid="f3">
Figure 3</xref> to demonstrate it further. The empirical research was based only on the theory of planned behavior towards air pollution rather than expanding it to air quality, sustainable development, and mitigation structures.</p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>
Table 3. </label>
                    <caption>
                        <title>Keywords with a minimum of two occurrences.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Keyword</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Occurrences</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Theory of Planned Behavior</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">80</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Human</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">20</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Survey and Questionnaires</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">17</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Environmental Protection</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Air Pollutants</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Particulate Matter</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Health Behavior</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Air pollution</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Sustainable development</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Human experiment</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Perception</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Air Quality</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Attitude</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <fig fig-type="figure" id="f3" orientation="portrait" position="float">
                    <label>
Figure 3. </label>
                    <caption>
                        <title>Keyword co-occurrence network visualization.</title>
                    </caption>
                    <graphic id="gr3" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/177400/fb386d01-b855-41ab-ba87-81ec8c51c36d_figure3.gif"/>
                </fig>
                <p>The keyword co-occurrence network visualization in 
                    <xref ref-type="fig" rid="f3">
Figure 3</xref> shows the connections of keywords shown in nodes. The connection represents the relationship between each keyword. Specifically, the strength of a relationship is characterized by the thickness of the line. Therefore, 
                    <xref ref-type="fig" rid="f3">
Figure 3</xref> shows that the theory of planned behavior and humans are linked by a thicker line, indicating that the theory of planned behavior is directly related to humans and their perspective. Moreover, the links between air pollution and attitudes and between surveys and questionnaires indicate their relationships with the theory of planned behavior. The nodes in 
                    <xref ref-type="fig" rid="f3">
Figure 3</xref> are in three clusters: red, green, and blue. Those clusters have keywords that are denoted in 
                    <xref ref-type="table" rid="T4">
Table 4</xref>. As shown in 
                    <xref ref-type="fig" rid="f3">
Figure 3</xref>, the different clusters indicate that the theory of planned behavior varies across different areas of investigation.</p>
                <table-wrap id="T4" orientation="portrait" position="float">
                    <label>
Table 4. </label>
                    <caption>
                        <title>Keywords are categorized into clusters.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Cluster type</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Cluster name</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Keywords</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Red (9 Items)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Human Health Impact and Behavioral Response</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Air Pollutant, Article, Child, Health Behavior, Human, Human Experiment, Particulate Matter, Questionnaire, and Surveys and Questionnaires</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Green (4 Items)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Perception And Theory of Planned Behavior</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Air Quality, Environmental Protection, Perception, and Theory of Planned Behavior</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Blue (3 Items)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Attitudinal Influences on Sustainable Development</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Air Pollution, Attitude, and Sustainable Development</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec id="sec20">
                <title>3.7 Human health impact and behavioral response</title>
                <p>This cluster focuses on the interactions between air pollution and human health, especially in susceptible groups such as children, and how these interactions influence behaviors linked to health. Using human trials, surveys, and questionnaires, among other methods, the cluster conducts empirical research to examine the presence and effects of air pollutants, especially particulate matter, on human health. To safeguard vulnerable populations, such as children, from the negative consequences of poor air quality, the cluster also explores how knowledge and awareness of these health implications affect behavior and decision-making. This cluster provides an approach to understanding the impact of air pollution and its quality on human health and behavior.</p>
            </sec>
            <sec id="sec21">
                <title>3.8 Perception and theory of planned behavior</title>
                <p>This cluster delves into the interplay between air quality, environmental protection, and human behavior, guided by the theory of planned behavior (TPB). This study explores how perceptions of air quality influence environmental protection efforts and how the TPB can be applied to understand and predict behaviors aimed at mitigating air pollution. The cluster provides a comprehensive view of how individual behaviors, shaped by perceptions and theoretical frameworks, impact air quality and environmental protection efforts. By linking these concepts, the cluster aims to offer insights into the design of effective strategies to foster environmental stewardship and improve air quality through behavioral change.</p>
            </sec>
            <sec id="sec22">
                <title>3.9 Attitudinal influences on sustainable development</title>
                <p>This cluster investigates air pollution, attitude, and sustainable development goals. The focus is on how the attitude towards air pollution can affect behavior and impact sustainable development. It also investigates policies that may affect sustainable development. By integrating insights from psychology, environmental science, and policy studies, it seeks to offer actionable strategies for improving air quality and advancing sustainability objectives.</p>
            </sec>
            <sec id="sec23">
                <title>3.10 Areas where empirical research is lacking - VOS viewer</title>
                <p>This section covers the study&#x2019;s second objective. The theories of planned behavior and air pollutants were the most used keywords in studies, as shown in 
                    <xref ref-type="table" rid="T3">
Table 3</xref>, indicating that they have been extensively researched. The density visualization map created by the VOS viewer shows it in the node with a dark yellow background (
                    <xref ref-type="fig" rid="f4">
Figure 4</xref>). According to the VOS viewer manual, a node with a dark yellow background indicates sufficient research for establishing knowledge. However, keyword nodes with a green background indicate that there has been less research on those keywords. Thus, all other keywords in 
                    <xref ref-type="fig" rid="f4">
Figure 4</xref> are in the green background, indicating insufficient research. Thus, there is a lack of research on air quality and sustainable development at the university level.</p>
                <fig fig-type="figure" id="f4" orientation="portrait" position="float">
                    <label>
Figure 4. </label>
                    <caption>
                        <title>Keyword density visualization map.</title>
                    </caption>
                    <graphic id="gr4" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/177400/fb386d01-b855-41ab-ba87-81ec8c51c36d_figure4.gif"/>
                </fig>
            </sec>
            <sec id="sec24">
                <title>3.11 Areas where empirical research is lacking &#x2013; SLR</title>
                <p>This analysis was conducted with a total of 24 articles. These articles were systematically reviewed and tabulated based on various criteria, including the title, keywords employed in the research paper, factors and sources contributing to the effects and causes, the methodology employed to achieve the desired outcomes, the results obtained, and the limitations of the study, which also outlined potential future research directions and questions. Among the 24 articles, at the university level, 11 articles were conducted within which China emerged as the main country with a focus research area on air pollution (
                    <xref ref-type="bibr" rid="ref2">An &amp; Yu, 2018</xref>; 
                    <xref ref-type="bibr" rid="ref18">Ram&#x00ed;rez et al., 2023</xref>). The analysis helped in identifying a lack of research on the theory of planned behavior among students as well as in the Indian context (
                    <xref ref-type="bibr" rid="ref19">Sahu &amp; Gurjar, 2020</xref>; 
                    <xref ref-type="bibr" rid="ref38">Sundar et al., 2020</xref>).</p>
                <p>The keywords within the papers focused on air pollution covering the aspects of fine particulate matter (PM 2.5), indoor and outdoor air quality, temperature, and emissions (
                    <xref ref-type="bibr" rid="ref6">Burdova et al., 2016</xref>; 
                    <xref ref-type="bibr" rid="ref7">Can et al., 2015</xref>). Studies have examined indoor air quality in university environments, highlighting the presence of particulate matter and microbiological contaminants that impact students&#x2019; health and cognitive functions (
                    <xref ref-type="bibr" rid="ref9">Erlandson et al., 2019</xref>; 
                    <xref ref-type="bibr" rid="ref11">Hayleeyesus &amp; Manaye, 2014</xref>). The theory of planned behavior consists of health behavior, intentions, attitudes, behavior changes pro-environmental behavior, and other environmental concerns (
                    <xref ref-type="bibr" rid="ref8">De Groot &amp; Steg, 2007</xref>; 
                    <xref ref-type="bibr" rid="ref10">Greaves et al., 2013</xref>).</p>
                <p>Sources and factors of air pollution and behavior changes were taken into consideration as they provide an area for further exploration and study about air quality because of its direct and indirect impacts (
                    <xref ref-type="bibr" rid="ref5">Bhat et al., 2022</xref>; 
                    <xref ref-type="bibr" rid="ref17">Pereira et al., 2019</xref>). Sustainability was the least researched topic that can provide a platform for future focus areas (
                    <xref ref-type="bibr" rid="ref38">Sundar et al., 2020</xref>). University-level research was the main area for concern and needs to be more focused on due to the rapid and spontaneous behavioral changes of students and youth towards environmental concerns such as air quality which helps in designing and implementing sustainable practices and air quality mitigation strategies (
                    <xref ref-type="bibr" rid="ref14">Mateer et al., 2022</xref>; 
                    <xref ref-type="bibr" rid="ref15">Niankara &amp; Zoungrana, 2018</xref>). Previous studies have shown that students&#x2019; environmental awareness and optimism are shaped by their interest in the biosphere, indicating that educational interventions could significantly impact their behavioral intentions toward air quality improvement (
                    <xref ref-type="bibr" rid="ref15">Niankara &amp; Zoungrana, 2018</xref>).</p>
                <p>The methodology used in the studies helped the researchers in identifying the research gap, considering the sample size, and the technique of cluster and stratified random sampling was implemented and emphasized (
                    <xref ref-type="bibr" rid="ref20">Woo et al., 2022</xref>; 
                    <xref ref-type="bibr" rid="ref21">Xu et al., 2021</xref>). Few research papers have developed questionnaires for assessing the intentions, attitudes, subjective norms, and perceived control behavior of the selected population regarding environmental concerns and air quality (
                    <xref ref-type="bibr" rid="ref22">Yang et al., 2020</xref>). The analysis of the methodology of the papers was important in the development of a conceptual framework, providing empirical data collection methods and analysis techniques for efficient results (
                    <xref ref-type="bibr" rid="ref23">Yuriev et al., 2020</xref>). Research has also explored how media exposure influences pro-environmental behavioral intentions, suggesting that communication strategies could enhance students&#x2019; engagement in air quality mitigation efforts (
                    <xref ref-type="bibr" rid="ref22">Yang et al., 2020</xref>).</p>
                <p>The limitations of this study include common areas of concern, such as the longevity of the research, the application of the TPB framework at the university level for sustainable development, and the interrelationship between indoor and outdoor air quality and pollution (
                    <xref ref-type="bibr" rid="ref26">McCright &amp; Dunlap, 2013</xref>; 
                    <xref ref-type="bibr" rid="ref34">Steg &amp; Vlek, 2009</xref>). Studies have demonstrated that environmental behavior is influenced by general beliefs and perceived barriers, which must be addressed to promote sustainable actions (
                    <xref ref-type="bibr" rid="ref33">Kollmuss &amp; Agyeman, 2002</xref>). The literature review of the identified articles, conducted in a systematic literature review meta-synthesis format, aided in understanding and identifying research gaps or areas of least research content, including universities, sustainability, air quality, and its mitigation, as well as the importance of the Theory of Planned Behavior (
                    <xref ref-type="bibr" rid="ref32">Gifford, 2011</xref>; 
                    <xref ref-type="bibr" rid="ref31">Cotton et al., 2016</xref>). Furthermore, governmental policies and building regulations have been examined for their role in improving indoor air quality and environmental sustainability within educational institutions (
                    <xref ref-type="bibr" rid="ref36">Ministry of Environment, Forest and Climate Change, 2016</xref>).</p>
            </sec>
        </sec>
        <sec id="sec25">
            <title>4. Conceptual model development and discussion</title>
            <p>Individual-level factors refer to personal attitudes, beliefs, and perceptions about air quality that are expected to influence an individual&#x2019;s behavior regarding a specific outcome (
                <xref ref-type="fig" rid="f5">
Figure 5</xref>). The air quality mitigation behavioral conceptual model comprises the following components.</p>
            <fig fig-type="figure" id="f5" orientation="portrait" position="float">
                <label>
Figure 5. </label>
                <caption>
                    <title>Conceptual model of air quality mitigation behavior with an example.</title>
                </caption>
                <graphic id="gr5" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/177400/fb386d01-b855-41ab-ba87-81ec8c51c36d_figure5.gif"/>
            </fig>
            <sec id="sec26">
                <title>4.1 Attitudes toward the behavior</title>
                <p>An individual&#x2019;s attitudes toward the behavior are made by perceptions of how to engage in a specific action and its consequences. For example, the use of public transport may decrease the carbon footprint, and biking on college campuses can increase health. These beliefs, in turn, impact the valuations of outcomes and the degree to which an individual perceives these outcomes as advantageous or disadvantageous. The higher the value one places on outcomes such as the benefits of reduced pollution or better health, the more favorably one should see these behaviors. Therefore, a person will decide whether to use public transport or bike as an important solution in their choices based on the extent of weight they attribute to environmental sustainability and personal well-being attitudes as part of his/her decision balance.</p>
            </sec>
            <sec id="sec27">
                <title>4.2. Subjective norms</title>
                <p>Normative beliefs are the second determinant of behavior in the Theory of Planned Behavior and are related to whether other people important to you tend to approve or disapprove of your performance of a particular act. These pressures are usually from significant social groups such as peers, family, or the culture on campus. For example, a student may report that they believe that their friends expect them to cut back while driving to reduce campus emissions. Through having this sense of pressure, individuals are motivated to comply (how much an individual is willing to conform to others). Motivation is typically fuelled here by a need to fit in and maintain their status among peers. Accordingly, by affecting behavioral intentions through social expectation pressures, normative beliefs are important determinants.</p>
            </sec>
            <sec id="sec28">
                <title>4.3 Perceived behavioral control</title>
                <p>According to the theory of planned behavior, perceived behavioral control (PBC) refers to individuals&#x2019; belief in their ability to control petty actions facilitated or impeded by a given set of factors. Perceived control beliefs are standards based on what a person thinks about the difficulty or ease of carrying out definite actions. Insights are also affected by outside circumstances that cause an individual to feel simple to perform, such as facile driving accessibility because there is a free shuttle service. Perceived power refers to your confidence that you can overcome obstacles, such as biking in the rain because you have all the necessary gear for doing so. Control beliefs, as well as perceived power, and thus the extent to which one believes her or himself able, are two significant determinants of an individual&#x2019;s capability belief leading to behavioral intentions influencing action.</p>
            </sec>
            <sec id="sec29">
                <title>4.4 Environmental and contextual factors</title>
                <p>These are external influences on behavior, either enabling or preventing it. Facilities such as bike lanes, electric vehicle charging stations, and public transportation networks are available. Providing access to information about air quality levels and pollution reduction strategies. The rules or incentives provided by the campus administration, such as free bus passes for students, carpooling incentives, or penalties for excessive car usage, should be followed. Implementation of design strategies such as pedestrian-friendly zones, green spaces access to public transport, and installation of real-time air quality monitoring and reporting station and display. Effective implementation of environmental frameworks such as clean air initiatives, tree plantations, and guidelines can increase awareness and influence behavior.</p>
            </sec>
            <sec id="sec30">
                <title>4.5 Behavioural intentions</title>
                <p>The intentions of an individual depend upon the three factors of TPB i.e. attitudes, subjective norms, and perceived behavioral control. Assessment of an individual action is referred to as attitude. Influence by peers or others, or social pressure and engagement affecting behavioral change is a subjective norm. The capacity of an individual to perform the act is referred to as perceived behavior control. The intention strength degree depends on the assessment of these factors that need to be well defined with great intent for behavior change and execution.</p>
            </sec>
            <sec id="sec31">
                <title>4.6 Actual behavior</title>
                <p>To address air quality problems and environmental effects through performing various activities is termed as actual behavior. The decision or act such as walking, biking, and use of public transportation instead of driving alone to reduce vehicular emission. Implementing energy-saving practices such as turning off lights when not in use. By performing these activities, one can reduce their carbon footprint and mitigate air pollution. One can achieve sustainability and air quality improvement with these activities. Understanding and support to perform these activities can develop and promote efficient environmental policies.</p>
            </sec>
            <sec id="sec32">
                <title>4.7 Feedback loops</title>
                <p>Feedback changes future behavior by changing the idea and perception of performing one activity. Behavioral and social feedback are two main categories of feedback. The result of how the activities affect the air quality and then changing the behavior to improve or reduce the second result is behavioral feedback. For example, one may decide to drive less in the future if they observe that it may lead to cleaner air. Social feedback is imitating the social or peer behavior. Social standards and peer pressure may encourage one to implement eco-friendly behaviors.</p>
            </sec>
            <sec id="sec33">
                <title>4.8 Outcomes</title>
                <p>Air quality mitigation behaviors have short-term and long-term impacts. The short-term impact is a decrease in the emissions which improves air quality. This may immediately improve the quality of life of an individual and a community. Long-term effects are more consistent and impactful. Improved air quality leads to major health benefits, reducing cardiovascular and respiratory problems. Implementation of eco-friendly practices promotes sustainability. The worldwide effort to reduce climate change and promote a healthier planet for future generations this change is required for greater influence.</p>
            </sec>
        </sec>
        <sec id="sec34">
            <title>5. Challenges</title>
            <p>
Indian contexts pose a challenge to air quality mitigation behaviors due to inadequate public transport and insufficient green space. This prevents the implementation of biking or public transit strategies. Individual and institutional financial constraints also play a major role as they may affect the use of technologies for infrastructure upgrades and create sustainable development. Cultural and behavioral attributes have a significant role in determining and controlling air quality. Preference to use personal vehicles creates an obstacle. Air quality guidelines and regulations are weak and not effective. Lack of knowledge, education, and awareness regarding air pollution, air quality and its impact, and environmental beliefs poses a challenge. To address these challenges and efforts regarding context-specific strategies, educational and environmental framework, and guidelines to promote sustainable behaviors and enhance air quality.</p>
        </sec>
        <sec id="sec35">
            <title>6. Theoretical contribution</title>
            <p>The present research contributes several important theoretical conclusions by applying the Theory of Planned Behavior (TPB) to the development of air quality mitigation on university campuses. First, it improves the scope of use of the TPB framework by including environmental and sustainability concerns, shifting it from individual behavior to institutional and campus levels. The study adds to the TPB by looking at the relationship between the concepts of air quality, sustainability, and behavior in higher education. It focuses on how students&#x2019; beliefs, subjective norms, and perceived behavioral control influence pro-environmental behaviors, specifically in air quality mitigation.</p>
            <p>Second, the study provides a unique conceptual model that includes feedback loops between behavior results and subsequent behaviors, improving our understanding of how long-term behavioral change could take place. This addition to the TPB framework is significant because it highlights the importance of encouraging behavior and barrier reduction in the long-term maintenance of pro-environmental behaviors.</p>
            <p>In addition, the study identifies gaps in the literature, especially in the application of TPB to air quality in underdeveloped nations, challenging established ideas and emphasizing the importance of contextual modifications. This observation implies that, while TPB is robust, it must take into consideration structural and environmental aspects such as campus infrastructure and policy actions to correctly represent the changing patterns of air quality behaviors.</p>
        </sec>
        <sec id="sec36">
            <title>7. Future research direction</title>
            <p>The systematic literature review performed in this study also highlights the gaps present for more empirical-based research on air quality and sustainability at the university level and within developing countries such as India. The research combines individual-level factors such as attitudes, subjective norms, and perceived behavioral control with environmental and contextual factors such as campus infrastructure or policy interventions when developing a conceptual model for air quality mitigation behavior. The model stresses the role of feedback loops in which behavior outcomes impact subsequent actions, either through positive reinforcement or adjustment to remove obstacles. The lack of research on the application of the TPB to air quality behaviors in these settings suggests that there is an important role for future researchers focused on developing effective interventions and policies to benefit both universities facing issues with poor regional air quality and those where improving regional air quality practices do not presently receive much attention.</p>
            <p>Future research should look not only at individual behavior, but also at the larger campus environment, investigating how policy interventions, infrastructure improvements, and community participation may all work together to produce sustainable campus ecosystems. Researchers must consider the context-specific needs of developing-country universities, ensuring that air quality initiatives are inclusive and adaptable to a variety of campus environments. Future studies, building on the TPB framework and including environmental and contextual factors, can contribute to a more thorough knowledge of air quality mitigation in higher education settings, eventually leading universities toward more effective and sustainable policies.</p>
        </sec>
        <sec id="sec37" sec-type="conclusion">
            <title>8. Conclusion</title>
            <p>This research paper provides an overlap between air quality, sustainability, and the theory of planned behavior. Air quality can be mitigated or controlled by the involvement of universities through an integrated approach. The results of the TPB analysis concerning campus air quality suggest that students&#x2019; attitudes towards air quality are significantly conditioned by their awareness and perceived consequences (health, environmental effects) of poor indoor/outdoor pollution. Interventions focusing on these impacts may promote more positive attitudes, hence leading to higher levels of engagement in air quality mitigation behaviors. Perceived social pressures (subjective norms) to perform a behavior or not are also important predictors of intention. When students believe that their peers, family, or wider campus community are committed to and practice pro-environmental behaviors, they also conform. This discovery highlights the need for a pro-environmental culture on campuses, where sustainable behaviors have become visible and receive support and incentives. Several papers refer to the third determinant in the TPB, which is perceived behavioral control, which refers primarily to students&#x2019; beliefs about their ability to perform behaviors to mitigate air pollution. On the other hand, potential barriers such as a lack of infrastructure or financial constraints can also heavily impact students&#x2019; perceived control and prevent them from engaging in mitigation behaviors.</p>
            <p>In total, this research helps lay the groundwork for improving our understanding of what drives university students&#x2019; behaviors in managing air quality with interventions that might translate into better campus sustainability. Using the insights from the TPB, universities can create intervention strategies to enhance air quality that promotes an environmental stewardship culture not only within campuses but also across a wider community. This line of thinking also resonates well with the agenda for sustainable development overall and addresses air pollution as a global public health problem, adding to human welfare today but even more so in generations to come.</p>
        </sec>
        <sec id="sec38">
            <title>Ethics and consent</title>
            <p>Ethical approval and consent were not required.</p>
        </sec>
    </body>
    <back>
        <sec id="sec41" sec-type="data-availability">
            <title>Data availability statement</title>
            <sec id="sec42">
                <title>Underlying data</title>
                <p>No data are associated with this article.</p>
            </sec>
            <sec id="sec43">
                <title>Extended data</title>
                <p>

                    <list list-type="order">
                        <list-item>
                            <label>1.</label>
                            <p>Figshare: A concept of air quality mitigation through the planned behaviout of University students towards sustainable campuses: A systematic literature review, 
                                <ext-link ext-link-type="uri" xlink:href="http://doi.org/10.6084/m9.figshare.28270193.v1">http://doi.org/10.6084/m9.figshare.28270193.v1</ext-link>. (
                                <xref ref-type="bibr" rid="ref39">Shetty et al., 2025a</xref>).</p>
                            <p>This project contains the following underlying data:</p>
                            <list list-type="bullet">
                                <list-item>
                                    <label>&#x25aa;</label>
                                    <p>
Figure 1: Article retrieval process</p>
                                </list-item>
                                <list-item>
                                    <label>&#x25aa;</label>
                                    <p>
Figure 2: Country-wise article publication</p>
                                </list-item>
                                <list-item>
                                    <label>&#x25aa;</label>
                                    <p>
Figure 3: Keyword Co-occurance network</p>
                                </list-item>
                                <list-item>
                                    <label>&#x25aa;</label>
                                    <p>
Figure 4: Keyword Density Visualisation Map</p>
                                </list-item>
                                <list-item>
                                    <label>&#x25aa;</label>
                                    <p>
Figure 5: Conceptual Model
</p>
                                </list-item>
                            </list>
                            <p>Data is available under the license CC0.</p>
                        </list-item>
                        <list-item>
                            <label>2.</label>
                            <p>Figshare: A concept of air quality mitigation through the planned behaviout of University students towards sustainable campuses: A systematic literature review, 
                                <ext-link ext-link-type="uri" xlink:href="http://doi.org/10.6084/m9.figshare.28270340.v1">http://doi.org/10.6084/m9.figshare.28270340.v1</ext-link>. (
                                <xref ref-type="bibr" rid="ref40">Shetty et al., 2025b</xref>).</p>
                            <p>This project contains the following underlying data:
                                <list list-type="bullet">
                                    <list-item>
                                        <label>&#x2022;</label>
                                        <p>
PRISMA_2020_checklist.docx
</p>
                                    </list-item>
                                </list>
                            </p>
                            <p>Data is available under the license CC0.</p>
                        </list-item>
                        <list-item>
                            <label>3.</label>
                            <p>Figshare: A concept of air quality mitigation through the planned behaviout of University students towards sustainable campuses: A systematic literature review, 
                                <ext-link ext-link-type="uri" xlink:href="http://doi.org/10.6084/m9.figshare.28270196.v1">http://doi.org/10.6084/m9.figshare.28270196.v1</ext-link>. (
                                <xref ref-type="bibr" rid="ref41">Shetty et al., 2025c</xref>).</p>
                            <p>This project contains the following underlying data:
                                <list list-type="bullet">
                                    <list-item>
                                        <label>&#x2022;</label>
                                        <p>Supplementary Materials.docx</p>
                                    </list-item>
                                </list>
                            </p>
                        </list-item>
                    </list>
                </p>
                <p>Data is available under the license CC0.</p>
            </sec>
        </sec>
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    <sub-article article-type="reviewer-report" id="report452685">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.177400.r452685</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Mishra</surname>
                        <given-names>Asit Kumar</given-names>
                    </name>
                    <xref ref-type="aff" rid="r452685a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-6489-6895</uri>
                </contrib>
                <aff id="r452685a1">
                    <label>1</label>University College Cork, Cork, Ireland</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>20</day>
                <month>2</month>
                <year>2026</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Mishra AK</copyright-statement>
                <copyright-year>2026</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport452685" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.161385.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>reject</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>There are major structural changes needed before this work becomes comprehensible to a reader. The flow is often abrupt and it is not clear what is being attempted.&#x00a0; 
                <list list-type="bullet">
                    <list-item>
                        <p>the first sentence of the abstract is unrequired and does not make sense implicitly.</p>
                    </list-item>
                    <list-item>
                        <p>Abstract needs a reworking. It is unclear as to what kind of behaviour is being discussed, what the findings were, or even what the population of interest and exposure of interest are.</p>
                    </list-item>
                    <list-item>
                        <p>Introduction first sentence - what do you mean by "Environmentally, air quality is crucial..."?</p>
                    </list-item>
                    <list-item>
                        <p>TPB - expand at first mention in main text</p>
                    </list-item>
                    <list-item>
                        <p>Introduction requires a rework of the order of flow, citations are missing that need to be added, geographical context needs to be added early on. The current form is inadequate and mostly confusing.</p>
                    </list-item>
                    <list-item>
                        <p>Form the first mention of TPB, it seems there is no consideration of the existing knowledge of the person (how informed are they about the impact of, say, air quality on their life). In 2.1, it is brought under attitude, but the connection is not made clear. Is it attitude towards a behavior or the attitude towards the factor the behavior is impacting?</p>
                    </list-item>
                    <list-item>
                        <p>Section 2 is named air quality and mitigation but focuses on the behavioral model. Also, no justification provided for choice of TPB</p>
                    </list-item>
                    <list-item>
                        <p>systematic literature review - how the search keywords were narrowed down is not clear. it is also not clear how the review is being framed - PECOS/PEOS or something else - according to population, exposure etc.</p>
                    </list-item>
                    <list-item>
                        <p>why 2014-2024?</p>
                    </list-item>
                    <list-item>
                        <p>Section 3.5 - citations as per which database?</p>
                    </list-item>
                    <list-item>
                        <p>Table 2 - country as in affiliation of the authors or study location?</p>
                    </list-item>
                    <list-item>
                        <p>What is the point of table 3/figure 3?</p>
                    </list-item>
                    <list-item>
                        <p>Figure 4 - keyword frequency cannot tell you where research is lacking considering you are searching for a specific combination of words, with focus on TPB and air pollution. detailed methodological extraction would be more relevant.</p>
                    </list-item>
                    <list-item>
                        <p>Nothing is provided on how the reviewed works assessed different domains of TPB</p>
                    </list-item>
                </list>
            </p>
            <p>Are the rationale for, and objectives of, the Systematic Review clearly stated?</p>
            <p>No</p>
            <p>Is the statistical analysis and its interpretation appropriate?</p>
            <p>No</p>
            <p>If this is a Living Systematic Review, is the &#x2018;living&#x2019; method appropriate and is the search schedule clearly defined and justified? (&#x2018;Living Systematic Review&#x2019; or a variation of this term should be included in the title.)</p>
            <p>Not applicable</p>
            <p>Are sufficient details of the methods and analysis provided to allow replication by others?</p>
            <p>No</p>
            <p>Are the conclusions drawn adequately supported by the results presented in the review?</p>
            <p>No</p>
            <p>Reviewer Expertise:</p>
            <p>indoor climate, thermal comfort, indoor air quality, HVAC</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report366847">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.177400.r366847</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Shoukry</surname>
                        <given-names>Farah</given-names>
                    </name>
                    <xref ref-type="aff" rid="r366847a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r366847a1">
                    <label>1</label>The American University in Cairo, New Cairo City, Cairo Governorate, Egypt</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>17</day>
                <month>3</month>
                <year>2025</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2025 Shoukry F</copyright-statement>
                <copyright-year>2025</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport366847" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.161385.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>
                <bold>Reviewer Comments:</bold>
            </p>
            <p> The paper presents a well-structured methodology, which is commendable given the limited number of available articles supporting the research. However, there are areas that require further refinement to strengthen the study's contribution.</p>
            <p> 
                <bold>Major Comments:</bold> 
                <list list-type="order">
                    <list-item>
                        <p>
                            <bold>Discussion and Conclusions:</bold> A greater focus is needed on the discussion section and conclusions. It would be beneficial to expand on how contextual differences influence behaviour to provide a broader understanding of the applicability of the theory of planned behaviour.</p>
                    </list-item>
                    <list-item>
                        <p>
                            <bold>Introduction:</bold> 
                            <list list-type="bullet">
                                <list-item>
                                    <p>The term "planetary boundary areas" is not clearly defined. Please clarify its meaning and relevance to the study.</p>
                                </list-item>
                                <list-item>
                                    <p>The introduction requires additional supporting references to enhance the background information.</p>
                                </list-item>
                                <list-item>
                                    <p>In the second paragraph, the term "Theory of Planned Behaviour" should be fully spelled out the first time it appears for clarity.</p>
                                </list-item>
                                <list-item>
                                    <p>In section 1.1, if possible, provide a contextual definition of the campus under study to offer better insight into the research setting.</p>
                                </list-item>
                                <list-item>
                                    <p>In some instances, multiple references are required. For example, the sentence listing the harmful effects of air pollutants on students would be more credible with additional citations.</p>
                                </list-item>
                            </list> </p>
                    </list-item>
                    <list-item>
                        <p>
                            <bold>Section 1.2:</bold> 
                            <list list-type="bullet">
                                <list-item>
                                    <p>A footnote should be added to the NAAQS references to clarify their origin and the contexts in which they apply.</p>
                                </list-item>
                            </list> </p>
                    </list-item>
                    <list-item>
                        <p>
                            <bold>Section 1.3:</bold> 
                            <list list-type="bullet">
                                <list-item>
                                    <p>The objectives of the research should be elaborated upon to provide a clearer understanding of the study&#x2019;s goals.</p>
                                </list-item>
                            </list> </p>
                    </list-item>
                    <list-item>
                        <p>
                            <bold>Methodology:</bold> 
                            <list list-type="bullet">
                                <list-item>
                                    <p>After section 2.3, a transition should be added before describing the systematic review. This will improve the logical flow of the research.</p>
                                </list-item>
                                <list-item>
                                    <p>More background is needed on how the 54 articles included in the systematic review were selected to ensure transparency and reliability in the study.</p>
                                </list-item>
                            </list> </p>
                    </list-item>
                    <list-item>
                        <p>
                            <bold>Results and Analysis:</bold> 
                            <list list-type="bullet">
                                <list-item>
                                    <p>This section is well-executed, demonstrating strong research rigor.</p>
                                </list-item>
                                <list-item>
                                    <p>The diagrams are well-represented and enhance the clarity of the findings.</p>
                                </list-item>
                            </list> </p>
                    </list-item>
                    <list-item>
                        <p>
                            <bold>Discussion (Section 4):</bold> 
                            <list list-type="bullet">
                                <list-item>
                                    <p>This section should highlight the main discussion points more clearly.</p>
                                </list-item>
                                <list-item>
                                    <p>The current structure contains many sections that introduce various concepts, but they need to be better linked to each other to provide a coherent narrative.</p>
                                </list-item>
                                <list-item>
                                    <p>The diagram in section 4.1 should be more explicitly reflected in the accompanying discussion.</p>
                                </list-item>
                            </list> </p>
                    </list-item>
                    <list-item>
                        <p>
                            <bold>Future Research Directions (Section 7):</bold> 
                            <list list-type="bullet">
                                <list-item>
                                    <p>This section should provide a clearer roadmap on how researchers can build upon the current study.</p>
                                </list-item>
                                <list-item>
                                    <p>It should explicitly outline how future research could utilize these findings for further advancements.</p>
                                </list-item>
                            </list> </p>
                    </list-item>
                    <list-item>
                        <p>
                            <bold>Conclusion:</bold> 
                            <list list-type="bullet">
                                <list-item>
                                    <p>The conclusion should summarize key lessons learned from the study more directly.</p>
                                </list-item>
                            </list> </p>
                    </list-item>
                </list> 
                <bold>Final Remarks:</bold> This research contributes significantly to the understanding of air quality mitigation in university campuses through the Theory of Planned Behaviour. The methodology is strong, and the results are well-presented. However, improvements in the discussion, introduction, and conclusion sections, along with a clearer connection between concepts, will further enhance the paper&#x2019;s impact. Thank you for your research efforts.</p>
            <p>Are the rationale for, and objectives of, the Systematic Review clearly stated?</p>
            <p>Partly</p>
            <p>Is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>If this is a Living Systematic Review, is the &#x2018;living&#x2019; method appropriate and is the search schedule clearly defined and justified? (&#x2018;Living Systematic Review&#x2019; or a variation of this term should be included in the title.)</p>
            <p>Partly</p>
            <p>Are sufficient details of the methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results presented in the review?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>Indoor Air Quality, Architectural Design, Energy Policy</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
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